{
 "meta": {
  "dataset": "Telegram channel ERR (views-to-subscribers) cohort baselines",
  "edition": "2026-08-20",
  "window_days": 30,
  "n_cohorts": 83,
  "source": "https://tgregister.com/data/err-baselines",
  "licence": "CC BY 4.0 — attribute to tgregister.com",
  "metric": "ERR = mean views per post over the window / subscribers x 100",
  "definition_source": "TGStat's ERR; identical to the figure on every channel page",
  "views": "latest reading per post; t.me renders any counter >= 1000 to 3 significant figures, so readings at or above 1000 are rounded, and the eligibility gate below caps the uncertainty that propagates from it",
  "subscribers": "latest snapshot reading per channel — the exact profile-page figure",
  "eligibility": {
   "Type": "Broadcast channels only, not deleted",
   "Subscribers": "at least 1,000",
   "Posts in window": "at least 8",
   "Posts carrying a view reading": "at least 8",
   "Readings taken 24h+ after posting": "at least 8",
   "Share of window posts with a reading": "at least 50%",
   "Relative uncertainty on ERR": "at most 2%"
  },
  "cohorts": {
   "size": "Fixed half-decade bands — each spans a factor of 3.16, from 1,000 to 1,000,000+. Fixed rather than population-derived so that every bucket covers the same multiple and so that successive editions stay comparable with each other.",
   "size_lang": "The same bands split by the modal language of the channel’s posts, published only where the cell holds at least 300 channels and that language accounts for at least 60% of the channel’s window. Language is not a footnote here — the spread between languages inside a single band is wider than the spread between two adjacent bands.",
   "decile": "Population deciles of the same eligible set. DESCRIPTIVE ONLY — published because it shows how the corpus is distributed, and because the width of the top decile is precisely why the size cohorts above are fixed bands and not deciles."
  },
  "columns": {
   "ERR": "Mean views per post over the window ÷ subscribers × 100. TGStat’s definition, and the same one this site computes on every channel page, so the figures are comparable rather than a house metric.",
   "Views": "The latest reading we hold for each post, taken from t.me. Telegram renders any counter at or above 1,000 to three significant figures, so those readings are rounded; the per-channel evidence carries the relative uncertainty that propagates from it, and a channel is only eligible when that uncertainty is under 2%.",
   "Subscribers": "The latest channel_snapshot reading for the channel — the exact figure from the profile page, never the rounded counter on the /s/ preview header.",
   "err_pNN": "The NNth percentile of ERR within the cohort, in percent.",
   "subs_min / subs_max": "The subscriber range the cohort’s members actually occupy, which is narrower than the nominal band label.",
   "avg_views_p50": "Median of the cohort members’ own mean views per post.",
   "posts_p50": "Median number of posts published in the window."
  },
  "caution": "A low ERR has many innocent causes, including audiences that read in the Telegram app without opening the channel, and channels whose subscriber growth long predates their current output. These baselines describe a distribution. They do not label any channel.",
  "structural_decline": "ERR falls as a channel grows, and it falls structurally: a larger audience is a more passive one, and the denominator grows faster than the numerator. Comparing a small channel’s ERR against a large one’s therefore measures audience size, not quality — which is the whole reason this dataset is cohorted, and the whole reason a single global “good ERR” figure would be worthless."
 },
 "rows": [
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   "bucket_ord": 1,
   "bucket_label": "1000-1360",
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   "subs_max": 1360,
   "subs_p50": 1163,
   "err_p01": 0.1269,
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   "err_p10": 3.9138,
   "err_p25": 8.8932,
   "err_p50": 18.3935,
   "err_p75": 33.9188,
   "err_p90": 56.4815,
   "err_p95": 74.2466,
   "err_p99": 153.5244,
   "err_mean": 28.2917,
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   "posts_p50": 16
  },
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  },
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   "cohort_kind": "decile",
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